Umeå University, Faculty of Science and Technology

Umeå University is dedicated to providing creative environments for learning and work. We offer a wide variety of courses and programmes, world leading research, and excellent innovation and collaboration opportunities. More than 4 300 employees and 33 000 students have already chosen Umeå University. We welcome your application!

The Department of Mathematics and Mathematical Statistics conducts research in computational mathematics, discrete mathematics, mathematical modelling and analysis, and mathematical statistics. Our teaching is conducted at all levels and includes mathematics, mathematical statistics and computational science. Among our partners are international research groups, academic institutions, public organizations and companies.

Umeå University offers a post-doctoral position in Spatio-Temporal Statistics for Prehospital resource optimization. The position is placed at the Department of Mathematics and Mathematical Statistics and comprises two years of research. The application deadline is 11 June 2018.

The Department of Mathematics and Mathematical statistics
The Department of Mathematics and Mathematical Statistics with around 50 active researchers on different seniority levels, conducts research in key areas of computational science, mathematics and mathematical statistics. We offer courses at all levels, as well as consulting services to partners within and outside of the university. The department offers a theoretical as well as multidisciplinary environment and is a founding partner of prominent interdisciplinary research labs. The atmosphere is both friendly and inspiring.

Project description
An aging population, urbanization and medical progress demand a flexible prehospital care. The changes require that the emergency medical service is customizable so that resources can be used sustainably, efficiently and equitably. This includes an equal care regardless of age, sex and geography, and that the environmental perspective is taken into account.

The aim of the project is to develop a broad solution that enables the prehospital care to be organized in an optimal way, which requires that we can predict key metrics for different resource allocations and simulate future alarms. Our solution combines unique historical alarm-data, advanced statistical modelling and large-scale simulations to derive information that allows for transparent decision-making and optimal resource utilization. The solution makes it easy to highlight the implications for specific patient groups, which is central from a democracy and gender perspective.

The prehospital care in Sweden has about 660 ambulances, respond to about 1.2 million emergency calls per year, and costs more than 4 billion SEK per year. The tool that we intend to develop creates settings for a systematic quality management, which in the long run can cause large efficiency gains.

The successful candidate, who will be based at the Department of Mathematics and Mathematical Statistics, will be responsible for modelling incoming calls to the emergency services, based on historical observations. This entails a large portion of data analysis and spatio-temporal point pattern statistics. The project is strongly cross-disciplinary, involving people from both academia and emergency services, and the candidate will work in close collaboration with various group members, in particular another post-doctoral candidate in the project who works within computer science.

To qualify for the position, you must have obtained a PhD degree, or a foreign degree deemed equivalent, in mathematical statistics or equivalent subject. Candidates who have not yet obtained their doctorate degree certificates but have completed all parts of the degree can apply but must have the certificates before the start of employment. To be eligible to apply, the degree must have been obtained no more than three years before the closing date of the position, unless there are particular circumstances.

Programming skills, preferably in the programming language R, are a requirement; skills in other programming languages are a merit. The applicant should also have documented knowledge of statistics, preferably spatial/spatio-temporal statistics with focus on point pattern analysis.  Due to the project’s cross-disciplinary nature, it is important that the candidate possesses communication skills and social skills, and, in addition, has the ability to conduct independent research and work as a team member. Good skills in written and oral English are also a requirement.

About the position
The post-doctoral position comprises two years and starts 1 July 2018 or according to agreement.

The application is made through our recruitment system no later than 11 June 2018. You may log in and apply by pressing the button at the bottom of the page. The application may be written in Swedish or English and must contain:

  • a personal letter, containing your contact information as well as a description of your research interests and experience (maximum 2 A4 pages)
  • Curriculum Vitae with your publication list
  • copy of degree certificates (or equivalent if the PhD degree certificate has not yet been obtained) and documentation of completed academic courses
  • copies of your doctoral thesis and other relevant scientific work (max 10 publications)
  • names and contact details for two persons willing to act as references

As we strive for a more balanced gender distribution within the department, we especially encourage women as applicants.

For further information
Contact Assistant professor Ottmar Cronie (tel: +46 90 786 57 42, e-mail: or Associate professor Patrik Rydén (tel: +46-90 786 95 62, e-mail:

We look forward to receiving your application!

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment 1 July 2018 or according to agreement.
Salary Monthly salary
Number of positions 1
Working hours 100%
City Umeå
County Västerbottens län
Country Sweden
Reference number AN 2.2.1-666-18
  • Ottmar Cronie,, +46 90 786 57 42
  • Patrik Rydén,, +46 90 786 95 62
Union representative
  • SACO, +46 90 786 53 65
  • SEKO, +46 90 786 52 96
  • ST, +46 90 786 54 31
Published 02.May.2018
Last application date 11.Jun.2018 11:59 PM CET

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